Quota Sampling involves
dividing the population into predefined groups or quotas, and sample sizes are determined
based on a pre-specified proportion. Quota sampling is cost-effective, especially when
random response rates are lower than 50% or when no sampling frame is available. In online
surveys, since there is no sample frame for the online population, quota sampling provides
for a balanced sample profile. Well-crafted quotas can reduce bias by ensuring a
well-spread sample. The bias decreases with quotas that are set more finely, although the
trade-off is increased data collection costs.
